Noah Krever

Hello! I’m an incoming first year Computer Science PhD student at Columbia University where I am very fortunate to be advised by Lily Xu and Rachel Cummings. Previously, I was a research assistant in the Columbia University IEOR Department where I worked with Christian Kroer. I also spent a few years as a data scientist at Roc360.

Before that, I graduated from Columbia University with a B.A. in Computer Science and Statistics, with a concentration in Mathematics. During my undergraduate years, I was fortunate to research with the Theoretical High Energy Astrophysics Group (THEA) under Zoltán Haiman studying false periodicities in quasar time-domain surveys.

My research interests lie at the intersection of machine learning and computational economics, drawing on tools from game theory, statistics, and optimization. I am particularly interested in the foundations of algorithmic decision-making in strategic and incomplete-information settings, as well as their responsible applications in society. I value bridging theory and practice, and enjoy developing socially-beneficial algorithms for society that are private, truthful, and fair.

Some domains that I find commonly produce interesting problems in these areas are differential privacy, security, biodiversity conservation, social choice and mechanism design, healthcare, and algorithmic trading.

Feel free to reach out to chat about research and collaboration, mentoring, or anything at all! You can find my CV here.